Advancements in Atmospheric Turbulence Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 30 January 2026 | Viewed by 1
Special Issue Editors
Interests: remote sensing; signal processing; machine learning, lidar; wind energy; boundary layer
Interests: lidar; physics of the atmosphere; boundary layer meteorology; cirrus remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Atmospheric turbulence has a great influence on the scientific and technological fields of interest of climatology, boundary layer processes, aviation safety, wind energy, and pollution dispersion, among others. Technological progress in recent decades—ranging from satellite-based sensors such as MODIS or CALIPSO to advanced full-fibre wind lidar systems—has dramatically improved the precision, resolution, and coverage of the remote sensing of turbulence, leading to enhanced weather forecasting, aviation hazard mitigation, and wind resource assessment, etc.
This Special Issue aims to gather cutting-edge research and review works on the emerging techniques, novel instrumentation, and data-driven methodologies for observing atmospheric turbulence. Therefore, contributions may cover topics from the multi-source cooperative remote sensing of turbulence and edge machine learning techniques for turbulence deconvolution from radar/lidar signals to the validation of turbulence models. This aligns with the journal’s focus on innovative remote sensing applications, particularly those advancing environmental monitoring and Earth system science.
We welcome contributions addressing, but not limited to, the following themes:
Remote sensing techniques for detecting turbulence (e.g., lidar, radar, satellite, and hyperspectral);
Wind lidar observations, including offshore platforms and turbulence spectra analysis;
Satellite-based measurements, from detection to forecasting (e.g., MODIS, Aeolus);
Machine learning and data fusion for turbulence classification and prediction;
Clear-air turbulence (CAT) detection and aviation hazard mitigation;
Boundary layer monitoring, including diurnal and seasonal turbulence variability;
AI-driven nowcasting and forecasting of turbulence using real-time remote sensing data;
Turbulence in extreme weather, including gravity waves and instabilities;
The assimilation of observations into multi-scale turbulence models.
We invite original research articles, methodological advances, and comprehensive reviews. Please contact us with questions regarding manuscript suitability. We look forward to your contributions.
Dr. Andreu Salcedo-Bosch
Dr. Simone Lolli
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- turbulence
- atmospheric remote sensing
- wind
- boundary layer
- lidar
- radar
- clear air turbulence
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